and all positive characteristic exponents, as well as an infinitely differentiable -perturbation having an order of smallness in a neighborhood of the origin and an order of growth not exceeding outside it, such that the perturbed system , , , has a solution with a ...
Importantly, both climate change scenarios anticipate important changes in wind power density in the mid-term future (in the range of ±20%) and the long-term future (up to ±40%). The trends detected in the mid-term future in a particular area, whether positive or negative, are typically...
flow is a function of the pressure difference ∆Pnfand the exponentnwas found close to the typical 0.6. There was a positive relationship between air permeability and construction age, but some of this also seems to reflect varying levels of maintenance by the building management companies. The...
Ocean-driven melting of floating ice-shelves in the Amundsen Sea is currently the main process controlling Antarctica’s contribution to sea-level rise. Using a regional ocean model, we present a comprehensive suite of future projections of ice-shelf mel
due to the lower abundance of large organisms23, therefore having negative consequences on species coexistence (hypothesis H1b). Alternatively, if neutral processes are found to be responsible for driving selectivity, predators would primarily forage on the most abundant species, which could result in ...
This change is a positive for many scenarios. For example, overloading func(const pair<int, int>&) and func(const pair<string, string>&), and calling func() with pair<const char *, const char *> will compile with this change. However, this change breaks code that relied on ...
values of temperature and wind speed were determined to be the dominant factors affecting ETo estimation. Shah et al. also studied the spatiotemporal effects on ETo across Pakistan for the period 2006–2015 and discovered variability with positive and negative trends across seasons in many regions ...
That is, negative surprises are larger than positive surprises of equal probability. Fig. 1 suggests that different methods yield different results. Figure B5 shows the curve fitted separately by method used for the primary impact estimates. Instead of using the Bayesian model average, the curve ...
(63,786 nodes). To quantify the overall impact of the ARA, for a given outside nodej, we define its in-weight (IN(Cj)) and in-strength (IN(Wj)) as the sum of the weights and strengths of all in-links (Methods). A larger (smaller) positive (negative) value of IN(Cj) and ...
28% (scenario B, assuming a power relationship with negative exponent occurring between temperature and proportion of plots containing clover) to a pessimistic one of c. 95% (scenario C, a power relationship with positive exponent) (Fig. 4e)....